{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T22:50:03Z","timestamp":1752101403122,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030932466"},{"type":"electronic","value":"9783030932473"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-93247-3_18","type":"book-chapter","created":{"date-parts":[[2021,12,30]],"date-time":"2021-12-30T00:03:20Z","timestamp":1640822600000},"page":"175-184","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Tree-Like Branching Network for\u00a0Multi-class Classification"],"prefix":"10.1007","author":[{"given":"Mengqi","family":"Xue","sequence":"first","affiliation":[]},{"given":"Jie","family":"Song","sequence":"additional","affiliation":[]},{"given":"Li","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Mingli","family":"Song","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,1]]},"reference":[{"issue":"May","key":"18_CR1","first-page":"83","volume":"4","author":"B Bakker","year":"2003","unstructured":"Bakker, B., Heskes, T.: Task clustering and gating for bayesian multitask learning. J. Mach. Learn. Res. 4(May), 83\u201399 (2003)","journal-title":"J. Mach. Learn. Res."},{"unstructured":"Frosst, N., Hinton, G.: Distilling a neural network into a soft decision tree. arXiv preprint arXiv:1711.09784 (2017)","key":"18_CR2"},{"doi-asserted-by":"crossref","unstructured":"Gao, Y., Ma, J., Zhao, M., Liu, W., Yuille, A.L.: Nddr-cnn: Layerwise feature fusing in multi-task cnns by neural discriminative dimensionality reduction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3205\u20133214 (2019)","key":"18_CR3","DOI":"10.1109\/CVPR.2019.00332"},{"doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","key":"18_CR4","DOI":"10.1109\/CVPR.2016.90"},{"unstructured":"Hinton, G., Vinyals, O., Dean, J.: Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)","key":"18_CR5"},{"unstructured":"Kendall, A., Gal, Y., Cipolla, R.: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7482\u20137491 (2018)","key":"18_CR6"},{"unstructured":"Krizhevsky, A., Hinton, G., et\u00a0al.: Learning multiple layers of features from tiny images (2009)","key":"18_CR7"},{"unstructured":"Lee, S., Song, B.C.: Graph-based knowledge distillation by multi-head attention network. In: BMVC, p. 141 (2019)","key":"18_CR8"},{"doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3431\u20133440 (2015)","key":"18_CR9","DOI":"10.1109\/CVPR.2015.7298965"},{"unstructured":"Macko, V., Weill, C., Mazzawi, H., Gonzalvo, J.: Improving neural architecture search image classifiers via ensemble learning. arXiv preprint arXiv:1903.06236 (2019)","key":"18_CR10"},{"doi-asserted-by":"crossref","unstructured":"Mahjourian, R., Wicke, M., Angelova, A.: Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 5667\u20135675 (2018)","key":"18_CR11","DOI":"10.1109\/CVPR.2018.00594"},{"unstructured":"Meyerson, E., Miikkulainen, R.: Beyond shared hierarchies: Deep multitask learning through soft layer ordering. arXiv preprint arXiv:1711.00108 (2017)","key":"18_CR12"},{"doi-asserted-by":"crossref","unstructured":"Misra, I., Shrivastava, A., Gupta, A., Hebert, M.: Cross-stitch networks for multi-task learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3994\u20134003 (2016)","key":"18_CR13","DOI":"10.1109\/CVPR.2016.433"},{"unstructured":"M\u00fcllner, D.: Modern hierarchical, agglomerative clustering algorithms. arXiv preprint arXiv:1109.2378 (2011)","key":"18_CR14"},{"doi-asserted-by":"crossref","unstructured":"Nilsback, M.E., Zisserman, A.: Automated flower classification over a large number of classes. In: 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, pp. 722\u2013729. IEEE (2008)","key":"18_CR15","DOI":"10.1109\/ICVGIP.2008.47"},{"unstructured":"Paszke, A., et al.: Automatic differentiation in pytorch (2017)","key":"18_CR16"},{"issue":"1","key":"18_CR17","first-page":"81","volume":"1","author":"JR Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81\u2013106 (1986)","journal-title":"Mach. Learn."},{"doi-asserted-by":"publisher","unstructured":"Rokach, L., Maimon, O.: Clustering methods. In: Data Mining and Knowledge Discovery Handbook, pp. 321\u2013352. Springer, Boston (2005). https:\/\/doi.org\/10.1007\/0-387-25465-X_15","key":"18_CR18","DOI":"10.1007\/0-387-25465-X_15"},{"unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)","key":"18_CR19"},{"key":"18_CR20","first-page":"1409","volume":"38","author":"RR Sokal","year":"1958","unstructured":"Sokal, R.R.: A statistical method for evaluating systematic relationships. Univ. Kansas Sci. Bull. 38, 1409\u20131438 (1958)","journal-title":"Univ. Kansas Sci. Bull."},{"issue":"12","key":"18_CR21","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1109\/34.817409","volume":"21","author":"A Su\u00e1rez","year":"1999","unstructured":"Su\u00e1rez, A., Lutsko, J.F.: Globally optimal fuzzy decision trees for classification and regression. IEEE Trans. Pattern Anal. Mach. Intell. 21(12), 1297\u20131311 (1999)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","key":"18_CR22","DOI":"10.1109\/CVPR.2015.7298594"},{"unstructured":"Tanno, R., Arulkumaran, K., Alexander, D., Criminisi, A., Nori, A.: Adaptive neural trees. In: International Conference on Machine Learning, pp. 6166\u20136175. PMLR (2019)","key":"18_CR23"},{"doi-asserted-by":"publisher","unstructured":"Vasant, P., Zelinka, I., Weber, G.W.: Intelligent Computing & Optimization (2018). https:\/\/doi.org\/10.1007\/978-3-030-00978-6","key":"18_CR24","DOI":"10.1007\/978-3-030-00978-6"},{"doi-asserted-by":"publisher","unstructured":"Vasant, P., Zelinka, I., Weber, G.W.: Intelligent Computing and Optimization (2019). https:\/\/doi.org\/10.1007\/978-3-030-33585-4","key":"18_CR25","DOI":"10.1007\/978-3-030-33585-4"},{"unstructured":"Zagoruyko, S., Komodakis, N.: Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer. arXiv preprint arXiv:1612.03928 (2016)","key":"18_CR26"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Computing & Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-93247-3_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T13:05:47Z","timestamp":1652187947000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-93247-3_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030932466","9783030932473"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-93247-3_18","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 January 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing & Optimization","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hua Hin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 December 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 December 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ico2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.icico.info\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}